def _load_params(self) -> None:
self._check_old_config_variables(self.component_config)
self._tf_config = train_utils.load_tf_config(self.component_config)
self._load_nn_architecture_params(self.component_config)
self._load_embedding_params(self.component_config)
self._load_regularization_params(self.component_config)
self._load_visual_params(self.component_config)
def _load_params(self, **kwargs: Dict[Text, Any]) -> None:
config = copy.deepcopy(self.defaults)
config.update(kwargs)
self._tf_config = train_utils.load_tf_config(config)
self._load_nn_architecture_params(config)
self._load_embedding_params(config)
self._load_regularization_params(config)
self._load_visual_params(config)
def _load_params(self, **kwargs: Dict[Text, Any]) -> None:
config = copy.deepcopy(self.defaults)
config.update(kwargs)
# filter out kwargs that are used explicitly
self._tf_config = load_tf_config(config)
self.rnn_size = config.pop("rnn_size")
self.epochs = config.pop("epochs")
self.batch_size = config.pop("batch_size")
self.validation_split = config.pop("validation_split")
self.random_seed = config.pop("random_seed")
self._train_params = config
